New Project topics guide 2012
Title:Improving Data Quality with Dynamic
Forms
Download Base Paper for this project from here
Abstract:
Data quality is a critical problem in modernTitle:Improving Data Quality with Dynamic
Forms
Download Base Paper for this project from here
Abstract:
databases. Data entry forms present the first and arguably best
opportunity for detecting and mitigating errors, but there has
been little research into automatic methods for improving data
quality at entry time. In this paper, we propose USHER, an endto-
end system for form design, entry, and data quality assurance.
Using previous form submissions, USHER learns a probabilistic
model over the questions of the form. USHER then applies this
model at every step of the data entry process to improve data
quality. Before entry, it induces a form layout that captures the
most important data values of a form instance as quickly as
possible. During entry, it dynamically adapts the form to the
values being entered, and enables real-time feedback to guide the
data enterer toward their intended values. After entry, it re-asks
questions that it deems likely to have been entered incorrectly.
We evaluate all three components of USHER using two real-world
data sets. Our results demonstrate that each component has the
potential to improve data quality considerably, at a reduced cost
when compared to current practice.
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